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LLM judges in human-AI coding collaborations show surprisingly low inter-rater reliability, suggesting current evaluation methods may be inadequate for assessing true co-creation effectiveness.
LLMs struggle with code comprehension, but a simple RNN pass over their embeddings can boost accuracy by over 5%.
